Amazon Alexa: Sr. Software Development Engineer - Alexa AI (NLU)
101 Main Street
Cambridge, MA 02142

Employee Testimonials

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Interested in delivering Natural Language Understanding (NLU) engineering solutions for Alexa product by working closely with a team of NLU engineers and Machine Learning (ML) scientists? The Amazon Alexa team is a group of developers and scientists working on audio, speech and natural language solutions that revolutionize how customers interact with Amazon’s products and services. The team’s mission is to push the envelope in NLU space, in order to provide the best possible experience for our customers. Products such as Amazon Echo, Amazon Dash, and Fire TV are illustrative of the user-delighting spoken language solutions Amazon is building.

As a member of the team, you will be responsible for leading the development and launch of core product features. You will have significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product.

BASIC QUALIFICATIONS

· 5+ years of experience building successful production software systems
· Bachelor's degree in Computer Science or Electrical Engineering
· Experience building scalable infrastructure software with distributed systems, with a service based approach.
· Experience defining system architectures and exploring technical feasibility tradeoffs.
· Experience developing cloud software services and an understanding of design for scalability, performance and reliability.
· Development experience defining, developing and maintaining REST based interfaces
· Experience with modern programming languages (Java, JavaScript, C/C++, Objective C, Python) and open-source technologies (Linux, SQLite, OpenGL, Spring, Hibernate)

PREFERRED QUALIFICATIONS

· Advanced degree in Computer Science or Electrical Engineering
· Experience developing cloud software services and an understanding of design for scalability, performance and reliability.
· Knowledge in Natural Language Understanding and prior work experience with Machine Learning is a plus.
· Development experience defining, developing and maintaining REST based interfaces
· Excellence in technical communication with peers and non-technical cohorts
· Demonstrated ability to mentor other software developers to maintain architectural vision and software quality
· Strong sense of ownership, urgency and drive
· Demonstrated ability to achieve stretch goals in a highly innovative and fast pace environment
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority/Women/Disability/Veteran/Gender Identity/Sexual Orientation

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Full-time

Employee Testimonials

Spyros M.
Senior Principal Scientist, Alexa Machine Learning

“For scientists, this is a great place for doing research because Amazon is very data-driven and metrics-oriented. The rigor expected in scientific publications in terms of running controlled experiments and tracking progress based on well-established metrics is exactly what we see in our team.”

“You also interact with people with strong technical and practical experience and learn from each other,” he says. “You’re exposed to a breadth of challenges, many of them long-term applications for artificial intelligence."

Chao W.
Alexa Science Manager

“Since 2000 I’ve been focused on developing spoken language and machine translation systems that can engage with humans more effectively, and hopefully break down language and other barriers,” Chao says. “We’re still far from systems that truly understand the meaning of what we’re saying, but the progress we’re making with Alexa is incredibly exciting.”

Janet S.
Senior Manager of Applied Modeling and Data Science

“We have much further to go in developing systems that can truly understand and converse with humans naturally.  But I’m incredibly proud of how far we’ve come with Alexa, and super excited about the work teams are doing to make Alexa smarter every day.”

Shankar A.
Senior Manager, Applied Science

“When I first joined the team I didn’t realize just how big and ambitious this initiative really is,” said Shankar. “What’s incredibly exciting for speech scientists like myself is how algorithmic innovations in machine learning and data science have created a sophisticated voiced-based AI like Alexa, and how our work on improving this technology has a positive impact on the day-to-day lives of millions of customers using it."

Chris C.
People Manager

“We have an incredibly diverse, experienced and curious team that is always pushing the envelope even further! Here at Amazon, we pride ourselves on being peculiar. We bring in talent from all around the world, leading to a diversity of background, culture and perspective in each team!” 

Beatriz R.
Team Manager

“I have quickly learned that Amazon is a company where you can actually voice out your ideas and concerns, where you can expect the support and interest of Leadership. We are quick to take action, passionate about improving processes and driven to enhance morale, so being able to speak up without fear has been my best asset. Now at the year mark at ADS, I am happy to say that the culture is one where you are proud to be a member of the team. “